6273 Open source projects that are alternatives of or similar to Cat Dog Cnn Classifier

Important paper implementations for Question Answering using PyTorch

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

CNN image style transfer 🎨.

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Convolutional Neural Network for Human Activity Recognition in Tensorflow

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Repository for most of the code from my YouTube channel

Keras tutorial for beginners (using TF backend)

Object classification with CIFAR-10 using transfer learning

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Text to Speech with PyTorch (English and Mongolian)

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Reproduce CheXNet

A journey into Convolutional Neural Network visualization

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Build a CNN network to predict 3D bounding box of car from 2D image.

Implementations of some popular Saliency Maps in Keras

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Keras- Multi Label Image Classification

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Music recommender using deep learning with Keras and TensorFlow

a collection of my notes on deep learning

Evaluation of the CNN design choices performance on ImageNet-2012.

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

CNN image classifier implemented in Keras Notebook 🖼️.

Hiding Images within other images using Deep Learning

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Code examples for training AlexNet using Keras and Theano

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

A machine learning experiment

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Deep learning codes and projects using Python

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Detecting cinema shot types using a ResNet-50

tensorflow implementation of Grad-CAM (CNN visualization)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Convolutional neural networks for artistic style transfer.

Vehicle detection using YOLO in Keras runs at 21FPS

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Build an OCR for iOS apps

Efficient Learning of Augmentation Policy Schedules

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

food image to recipe with deep convolutional neural networks.

PyTorch tutorial for learners

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

TensorFlow Tutorials

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Skin cancer classification using Inceptionv3